Mingon Kang

Orcid: 0000-0002-9565-9523

According to our database1, Mingon Kang authored at least 49 papers between 2010 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Multi-layered self-attention mechanism for weakly supervised semantic segmentation.
Comput. Vis. Image Underst., February, 2024

2023
Evidential deep learning for trustworthy prediction of enzyme commission number.
Briefings Bioinform., November, 2023

Epidemic Vulnerability Index for Effective Vaccine Distribution Against Pandemic.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022
A roadmap for multi-omics data integration using deep learning.
Briefings Bioinform., 2022

2021
PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disks.
CoRR, 2021

PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma.
Bioinform., 2021

2020
Practical Evaluation of Different Omics Data Integration Methods.
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Rethinking the Weakness of Stream Ciphers and Its Application to Encrypted Malware Detection.
IEEE Access, 2020

PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using HistopathologicalImages and Genomic Data.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019
Robust Inductive Matrix Completion Strategy to Explore Associations Between LincRNAs and Human Disease Phenotypes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Hi-LASSO: High-Dimensional LASSO.
IEEE Access, 2019

Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes.
Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

Semi-Supervised Discriminative Transfer Learning in Cross-Language Text Classification.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

DoT-Net: Document Layout Classification Using Texture-Based CNN.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis<sup>*</sup>.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

Texture-based Deep Learning for Effective Histopathological Cancer Image Classification.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Table of Contents Recognition in OCR Documents using Image-based Machine Learning.
Proceedings of the 2019 ACM Southeast Conference, 2019

2018
Nearest neighbor search with locally weighted linear regression for heartbeat classification.
Soft Comput., 2018

Text Mining and Sentiment Analysis for Predicting Box Office Success.
KSII Trans. Internet Inf. Syst., 2018

DiffGRN: differential gene regulatory network analysis.
Int. J. Data Min. Bioinform., 2018

PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data.
BMC Bioinform., 2018

Automatic knowledge extraction from OCR documents using hierarchical document analysis.
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018

PASCL: Pathway-based Sparse Deep Clustering for Identifying Unknown Cancer Subtypes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Cox-PASNet: Pathway-based Sparse Deep Neural Network for Survival Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Multi-Block Bipartite Graph for Integrative Genomic Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Cascade Classification with Adaptive Feature Extraction for Arrhythmia Detection.
J. Medical Syst., 2017

Effects of low dose ionizing radiation on DNA damage-caused pathways by reverse-phase protein array and Bayesian networks.
J. Bioinform. Comput. Biol., 2017

Integration of multi-omics data for integrative gene regulatory network inference.
Int. J. Data Min. Bioinform., 2017

Nonlinear-RANSAC parameter optimisation for dynamic molecular systems and signalling pathways.
Int. J. Data Min. Bioinform., 2017

Identifying cis/trans-acting expression quantitative trait loci (eQTL).
Int. J. Data Min. Bioinform., 2017

A Comparison on Sparse Coding and Moran's I Method for Image Denoising.
Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2017

Graph-Theory Based Simplification Techniques for Efficient Biological Network Analysis.
Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

R-PathCluster: Identifying cancer subtype of glioblastoma multiforme using pathway-based restricted boltzmann machine.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Computational modeling of phagocyte transmigration for foreign body responses to subcutaneous biomaterial implants in mice.
BMC Bioinform., 2016

Recommendations for antiarrhythmic drugs based on latent semantic analysis with fc-means clustering.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Integrative Gene Regulatory Network inference using multi-omics data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Inferring disease associations of the long non-coding RNAs through non-negative matrix factorization.
Netw. Model. Anal. Health Informatics Bioinform., 2015

eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways.
Bioinform., 2015

Heartbeat classification for detecting arrhythmia using normalized beat morphology features.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

An integrative genomic study for multimodal genomic data using multi-block bipartite graph.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Integration of DNA Methylation, Copy Number Variation, and Gene Expression for Gene Regulatory Network Inference and Application to Psychiatric Disorders.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

Multi-block and Multi-task Learning for Integrative Genomic Study.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2013
eQTL Mapping Study via Regularized Sparse Canonical Correlation Analysis.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Sparse generalized canonical correlation analysis for biological model integration: A genetic study of psychiatric disorders.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

eQTL epistasis: Detecting complex interaction effects between multiple loci from eQTL data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2011
Investigation of impact factors for various performances of passive UHF RFID system.
Proceedings of the 2011 IEEE International Conference on RFID-Technologies and Applications, 2011

Nonlinear RANSAC Optimization for Parameter Estimation with Applications to Phagocyte Transmigration.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010
Computational modeling of phagocyte transmigration during biomaterial-mediated foreign body responses.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010


  Loading...